Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
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1st | UMBC | 1,405.1184 | 1,402.9047 | 1,404.0111 | 50.71 | 47.87 | -0.026 |
2nd | Albany (NY) | 1,371.8877 | 1,373.4726 | 1,372.6799 | 47.25 | 48.40 | -0.046 |
3rd | Stony Brook | 1,360.5284 | 1,366.8009 | 1,363.6610 | 45.95 | 48.74 | -0.043 |
4th | New Hampshire | 1,313.9877 | 1,316.2699 | 1,315.1283 | 47.95 | 45.55 | -0.097 |
5th | Hartford | 1,249.1490 | 1,244.6416 | 1,246.8933 | 42.24 | 42.43 | -0.173 |
6th | Binghamton | 1,210.4796 | 1,211.9630 | 1,211.2211 | 43.28 | 39.94 | -0.187 |
7th | NJIT | 1,167.9157 | 1,176.0962 | 1,171.9988 | 37.08 | 42.72 | -0.238 |
ViPR Adjusted Offenses and Defenses are adjusted to expected values against an average team in the same division.
Rnk. | Team | Hit% | Kill% | HE% | AST% | O_DIG% | O_BLK% | ACE% |
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1st | Stony Brook | 0.1872 | 32.95 | 14.23 | 30.55 | 50.98 | 5.15 | 5.56 |
2nd | Albany (NY) | 0.1740 | 34.55 | 17.15 | 32.38 | 48.70 | 6.91 | 5.61 |
3rd | UMBC | 0.1704 | 32.93 | 15.88 | 30.31 | 50.21 | 6.61 | 4.59 |
4th | New Hampshire | 0.1593 | 31.79 | 15.86 | 28.46 | 53.82 | 6.51 | 5.48 |
5th | Hartford | 0.0949 | 26.57 | 17.08 | 24.60 | 58.31 | 7.17 | 5.19 |
6th | NJIT | 0.0880 | 28.85 | 20.04 | 27.33 | 55.12 | 7.74 | 4.30 |
7th | Binghamton | 0.0716 | 25.66 | 18.50 | 23.34 | 59.46 | 6.05 | 5.52 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | UMBC | 0.1968 | 34.60 | 14.92 | 31.53 | 50.42 | 5.46 | 6.29 |
2nd | Albany (NY) | 0.2204 | 37.63 | 15.59 | 33.53 | 45.93 | 6.57 | 7.18 |
3rd | Stony Brook | 0.2298 | 36.89 | 13.91 | 34.07 | 49.67 | 3.96 | 6.53 |
4th | New Hampshire | 0.2561 | 40.82 | 15.21 | 36.74 | 43.43 | 4.96 | 8.32 |
5th | Binghamton | 0.2583 | 40.37 | 14.54 | 36.45 | 43.81 | 4.84 | 10.03 |
6th | Hartford | 0.2681 | 39.83 | 13.02 | 36.89 | 46.54 | 5.01 | 7.80 |
7th | NJIT | 0.3264 | 46.32 | 13.68 | 41.93 | 37.94 | 5.78 | 9.27 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,297.9419 | 1,301.9167 | 1,308.5609 | 1,315.1283 | 1,305.8870 |
Difference | 3.9748 | 10.6189 | 17.1864 | 10.5934 |
Offense | Defense | ||||||||||||||
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Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
New Hampshire | 103 | 2,000 | 1,084 | 168 | 177 | 54.20 | 11.9 | 11.3 | 1,971 | 1,002 | 183 | 213 | 49.16 | 10.8 | 9.3 |
UMBC | 113 | 2,433 | 1,322 | 141 | 142 | 54.34 | 17.3 | 17.1 | 2,289 | 1,172 | 146 | 219 | 48.80 | 15.7 | 10.5 |
Albany (NY) | 111 | 2,293 | 1,162 | 155 | 226 | 50.68 | 14.8 | 10.1 | 2,251 | 1,131 | 151 | 189 | 49.76 | 14.9 | 11.9 |
Stony Brook | 96 | 2,034 | 1,022 | 143 | 196 | 50.25 | 14.2 | 10.4 | 1,998 | 1,000 | 122 | 164 | 49.95 | 16.4 | 12.2 |
Hartford | 84 | 1,592 | 752 | 105 | 162 | 47.24 | 15.2 | 9.8 | 1,850 | 1,020 | 132 | 185 | 44.87 | 14.0 | 10.0 |
Binghamton | 86 | 1,364 | 663 | 118 | 220 | 48.61 | 11.6 | 6.2 | 1,624 | 920 | 178 | 185 | 43.35 | 9.1 | 8.8 |
NJIT | 89 | 1,432 | 604 | 92 | 178 | 42.18 | 15.6 | 8.0 | 1,842 | 1,011 | 183 | 201 | 45.11 | 10.1 | 9.2 |
Conference Average | 97 | 1,878 | 944 | 132 | 186 | 49.64 | 14.4 | 10.4 | 1,975 | 1,037 | 156 | 194 | 47.29 | 13.0 | 10.2 |
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Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
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GAME |
66.07 |
2021-09-25 |
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GAME |
65.95 |
2021-10-15 |
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GAME |
65.87 |
2021-10-22 |
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GAME |
65.21 |
2021-11-19 |
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GAME |
64.43 |
2021-11-12 |
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GAME |
63.54 |
2021-10-01 |
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GAME |
63.27 |
2021-11-07 |
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GAME |
62.90 |
2021-10-31 |
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GAME |
62.11 |
2021-11-05 |
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GAME |
61.82 |
2021-10-08 |
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Name | Team | Role |
---|---|---|
Oren Abutbul | Albany (NY) | A |
Beste Ayhan | UMBC | A |
Mia Bilusic | UMBC | A |
Leoni Kunz | Stony Brook | A |
Grace Rigsbee | UMBC | A |
Aysia Miller | UMBC | D |
Andjelija Draskovic | UMBC | S |
Torri Henry | Stony Brook | S |
Rank | Name | Team |
---|---|---|
1 | Andjelija Draskovic | UMBC |
2 | Mia Bilusic | UMBC |
3 | Torri Henry | Stony Brook |
4 | Aysia Miller | UMBC |
5 | Wren Macaulay | New Hampshire |
Rank | Name | Team |
---|---|---|
1 | Mia Bilusic | UMBC |
2 | Leoni Kunz | Stony Brook |
3 | Oren Abutbul | Albany (NY) |
4 | Grace Rigsbee | UMBC |
5 | Enitan Omolewa | Stony Brook |
Rank | Name | Team |
---|---|---|
1 | Andjelija Draskovic | UMBC |
2 | Torri Henry | Stony Brook |
3 | Wren Macaulay | New Hampshire |
4 | Malea Stanton | Albany (NY) |
5 | Morgan Galligan | Hartford |
Rank | Name | Team |
---|---|---|
1 | Aysia Miller | UMBC |
2 | Loren Teter | UMBC |
3 | Charlotte Macken | Albany (NY) |
4 | Mia Pagliarini | New Hampshire |
5 | Kiani Kerstetter | Stony Brook |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Mia Bilusic | UMBC | 17.9295 |
2 | Andjelija Draskovic | UMBC | 16.9488 |
3 | Loren Teter | UMBC | 16.4301 |
4 | Aysia Miller | UMBC | 16.2051 |
5 | Wren Macaulay | New Hampshire | 15.7816 |
6 | Malea Stanton | Albany (NY) | 15.6694 |
7 | Charlotte Macken | Albany (NY) | 15.2420 |
8 | Torri Henry | Stony Brook | 15.2350 |
9 | Leoni Kunz | Stony Brook | 13.9938 |
10 | Mia Pagliarini | New Hampshire | 13.4254 |
Rk. | Name | Team | OWPA |
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1 | Andjelija Draskovic | UMBC | 10.0259 |
2 | Wren Macaulay | New Hampshire | 9.8310 |
3 | Torri Henry | Stony Brook | 9.7691 |
4 | Mia Bilusic | UMBC | 9.3677 |
5 | Oren Abutbul | Albany (NY) | 9.2497 |
6 | Malea Stanton | Albany (NY) | 8.8016 |
7 | Danielle Tedesco | Albany (NY) | 7.0989 |
8 | Aysia Miller | UMBC | 7.0649 |
9 | Leoni Kunz | Stony Brook | 6.7027 |
10 | Abby Campbell | Stony Brook | 6.5359 |
Rk. | Name | Team | DWPA |
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1 | Loren Teter | UMBC | 16.0895 |
2 | Charlotte Macken | Albany (NY) | 14.2496 |
3 | Mia Pagliarini | New Hampshire | 12.5244 |
4 | Alex Lucero | Hartford | 11.1055 |
5 | Kiani Kerstetter | Stony Brook | 10.8267 |
6 | Aysia Miller | UMBC | 9.1402 |
7 | Mia Bilusic | UMBC | 8.5618 |
8 | Emily Rail | Binghamton | 7.6282 |
9 | Leoni Kunz | Stony Brook | 7.2912 |
10 | Regan Wright | Albany (NY) | 7.1446 |
Rk. | Name | Team | WPA/S |
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1 | Andjelija Draskovic | UMBC | 0.1904 |
2 | Wren Macaulay | New Hampshire | 0.1793 |
3 | Mia Bilusic | UMBC | 0.1691 |
4 | Torri Henry | Stony Brook | 0.1638 |
5 | Aysia Miller | UMBC | 0.1621 |
6 | Malea Stanton | Albany (NY) | 0.1521 |
7 | Leoni Kunz | Stony Brook | 0.1521 |
8 | Mia Pagliarini | New Hampshire | 0.1508 |
9 | Loren Teter | UMBC | 0.1494 |
10 | Charlotte Macken | Albany (NY) | 0.1466 |
Rk. | Name | Team | OWPA/S |
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1 | Andjelija Draskovic | UMBC | 0.1127 |
2 | Wren Macaulay | New Hampshire | 0.1117 |
3 | Torri Henry | Stony Brook | 0.1050 |
4 | Oren Abutbul | Albany (NY) | 0.0889 |
5 | Mia Bilusic | UMBC | 0.0884 |
6 | Malea Stanton | Albany (NY) | 0.0855 |
7 | Enitan Omolewa | Stony Brook | 0.0773 |
8 | Abby Sullivan | New Hampshire | 0.0772 |
9 | Hannah Serbousek | New Hampshire | 0.0757 |
10 | Juliana Impaglia | NJIT | 0.0748 |
Rk. | Name | Team | DWPA/S |
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1 | Loren Teter | UMBC | 0.1463 |
2 | Mia Pagliarini | New Hampshire | 0.1407 |
3 | Alex Lucero | Hartford | 0.1406 |
4 | Charlotte Macken | Albany (NY) | 0.1370 |
5 | Kiani Kerstetter | Stony Brook | 0.1164 |
6 | Emily Rail | Binghamton | 0.1074 |
7 | Aysia Miller | UMBC | 0.0914 |
8 | Kamara Kelly | Albany (NY) | 0.0842 |
9 | Mia Bilusic | UMBC | 0.0808 |
10 | Julia Patsos | Stony Brook | 0.0794 |
Conference Strength – The Conference Strength table has two parts. The first row is a list of averages of the scores for a selection of teams in the conference ranging from all of them under the heading “Average” to an average of teams in the conference if we remove the top and bottom three teams. This is designed to check if a conference is propped up by its elite teams of held down by its weakest teams. The Composite score on the far right is an average of those scores. It is a weighted score where the middle teams have a higher value than the edge teams. The second row containing difference is simply a measure of how different removing the edge teams makes the conference from its initial average. If the numbers are positive, then removing the edge teams increases the conferences rating. If a value grows from the value before it, then the team removed at the bottom of the ratings was rated farther outside of the mean than the team removed at the top of the ratings. It was weighing the average down so to speak. The Composite difference at the far right is simply an average of the differences.
The Best Conference Games – A short list of the best games played between two members of the conference which is calculated using the EPIC score of each game. EPIC score is essentially very simple amounting to adding the teams combined ViPR Rating and the total Win Probability Added scored by each team.
All-Conference Teams – All-conference teams are calculated using Win Probability Added per Set Played and the quality of the team that the player plays on. Team quality is included because better teams tend to have better players and more of them. This often means that players on better teams have fewer opportunities than standouts on lesser teams.
Awards Lists – Each awards list uses the same formula that is used to calculate All-Conference Teams, and decides based on the focus of the list. Player of the Year has no limitation on how the player score is added up. While Attacker of the Year must have a higher attack score than any other metric. Similarly Setter and Defensive Player must acquire most of their score through those metrics.